Minimal Energy Cluster Head Selection in LEACH for WSNs : A Sea Lion Inspired Algorithm

Due to the increasing significance and applications of wireless sensor networks (WSNs), research has focused on addressing the crucial issue of depletion. Minimizing energy consumption is essential for extending the network lifetime. LEACH, a popular routing algorithm for WSNs, helps achieve this go...

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Bibliographic Details
Published in:	2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) pp. 1 - 6
Main Authors:	K, Pooja, Bala, P Dharshini Muthu, Kumar, Rishi, S, Saaral, R, Gandhiraj
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21-03-2024
Subjects:	Clustering algorithms Energy consumption Low Energy Adaptive Cluster Hierarchy (LEACH) PDU SLnO -(particle distance updated sea lion optimization Cluster Head (CH) PSO- particle swarm optimization Quality of service Signal processing Signal processing algorithms Wireless communication Wireless Sensor Network (WSN) Wireless sensor networks
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Summary:	Due to the increasing significance and applications of wireless sensor networks (WSNs), research has focused on addressing the crucial issue of depletion. Minimizing energy consumption is essential for extending the network lifetime. LEACH, a popular routing algorithm for WSNs, helps achieve this goal. However, LEACH has certain limitations. This work introduces PDU-SLnO LEACH, which proposes solutions to these limitations. The key idea involves dividing the communication area into clusters and allocating cluster heads for each cluster using the PDU-SLnO cluster head selection algorithm, thereby reducing transmission distances and overall energy consumption. The results demonstrate a reduction in total energy consumption and the throughput is also increased by 20%. There is an extension of network lifetime and increased stability compared to the original LEACH.
DOI:	10.1109/WiSPNET61464.2024.10533017